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The Pandora multi-algorithm approach to automated pattern recognition in LAr TPC detectors

Published version
Peer-reviewed

Type

Conference Object

Change log

Authors

Marshall, JS 
Blake, AST 
Thomson, MA 
Escudero, L 
De Vries, J 

Abstract

The development and operation of Liquid Argon Time Projection Chambers (LAr TPCs) for neutrino physics has created a need for new approaches to pattern recognition, in order to fully exploit the superb imaging capabilities offered by this technology. The Pandora Software Development Kit provides functionality to aid the process of designing, implementing and running pattern recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition: individual algorithms each address a specific task in a particular topology; a series of many tens of algorithms then carefully builds-up a picture of the event. The input to the Pandora pattern recognition is a list of 2D Hits. The output from the chain of over 70 algorithms is a hierarchy of reconstructed 3D Particles, each with an identified particle type, vertex and direction.

Description

Keywords

5106 Nuclear and Plasma Physics, 51 Physical Sciences, Bioengineering, Networking and Information Technology R&D (NITRD)

Journal Title

Journal of Physics: Conference Series

Conference Name

Neutrino 2016

Journal ISSN

1742-6588
1742-6596

Volume Title

888

Publisher

Insititute Of Physics Publishing
Sponsorship
Science and Technology Facilities Council (ST/H000534/1)
Science and Technology Facilities Council (ST/M002934/1)
Science and Technology Facilities Council (ST/M004007/1)
European Commission (262025)
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (unknown)
Science and Technology Facilities Council (ST/R000174/1)